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Jinbo Chen, Ph.D.
61Professor of Biostatistics in Biostatistics and Epidemiology
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Department: Biostatistics and Epidemiology
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Graduate Group Affiliations
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Contact information
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University of Pennsylvania Perelman School of Medicine,
41 Department of Biostatistics, Epidemiology and Informatics
19 605 Blockley Hall
35 423 Guardian Drive
Philadelphia, PA 19104
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41 Department of Biostatistics, Epidemiology and Informatics
19 605 Blockley Hall
35 423 Guardian Drive
Philadelphia, PA 19104
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Office: 215-746-3915
32 Fax: 215-573-1050
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32 Fax: 215-573-1050
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Email:
jinboche@upenn.edu
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jinboche@upenn.edu
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Publications
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Education:
21 9 B.S. 14 (Physics) c
3e Beijing Normal University, P.R. China, 1992.
21 9 M.S. 1a (Biostatistics) c
3e University of Washington, Seattle, WA, 1999.
21 a Ph.D. 1a (Biostatistics) c
3e University of Washington, Seattle, WA, 2002.
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21 9 B.S. 14 (Physics) c
3e Beijing Normal University, P.R. China, 1992.
21 9 M.S. 1a (Biostatistics) c
3e University of Washington, Seattle, WA, 1999.
21 a Ph.D. 1a (Biostatistics) c
3e University of Washington, Seattle, WA, 2002.
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Links
156 Search PubMed for articles
87 CCEB > Statistical Genetics and Genomics
92 Center for Clinical Epidemiology and Biostatistics Faculty
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Permanent link156 Search PubMed for articles
87 CCEB > Statistical Genetics and Genomics
92 Center for Clinical Epidemiology and Biostatistics Faculty
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fe Wang L, Schnall J, Small A, Hubbard RA, Moore JH, Damrauer SM, Chen J: Case contamination in electronic health records based case-control studies. Biometrics 77(1): 67-77, Mar 2021.
13a Parikh RB, Zhang Y, Kolla L, Chivers C, Courtright KR, Zhu J, Navathe AS, Chen J: Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic. J Am Med Inform Assoc 30(2): 348-54, Jan 2023.
fc Hasler JS, Ma Y, Wei YZ, Parikh R, Chen J: A Semiparametric Method for Risk Prediction Using Integrated Electronic Health Record Data. Ann. Appl. Stat 18(4): 3318-3337, Dec 2024.
162 Dai G, Shao L, Chen J: Moving beyond population variable importance: concept, theory and applications of individual variable importance. Journal of the Royal Statistical Society Series B: Statistical Methodology Page: qkae11, Dec 2024 Notes: https://doi.org/10.1093/jrsssb/qkae115.
13d Cao Y, Ma W, McCarthy A, Chen J: A constrained maximum likelihood approach to developing well-calibrated models for predicting binary outcomes. Lifetime Data Analysis 30: 624-648, May 2024 Notes: DOI https://doi.org/10.1007/s10985-024-09628-9.
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Selected Publications
14c Chen J, Pee D, Ayyagari R, Graubard B, Schairer C, Byrne C, Benichou J, Gail, MH: Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density. Journal of the National Cancer Institute 98(17): 1215-1226, 2006.fe Wang L, Schnall J, Small A, Hubbard RA, Moore JH, Damrauer SM, Chen J: Case contamination in electronic health records based case-control studies. Biometrics 77(1): 67-77, Mar 2021.
13a Parikh RB, Zhang Y, Kolla L, Chivers C, Courtright KR, Zhu J, Navathe AS, Chen J: Performance drift in a mortality prediction algorithm among patients with cancer during the SARS-CoV-2 pandemic. J Am Med Inform Assoc 30(2): 348-54, Jan 2023.
fc Hasler JS, Ma Y, Wei YZ, Parikh R, Chen J: A Semiparametric Method for Risk Prediction Using Integrated Electronic Health Record Data. Ann. Appl. Stat 18(4): 3318-3337, Dec 2024.
162 Dai G, Shao L, Chen J: Moving beyond population variable importance: concept, theory and applications of individual variable importance. Journal of the Royal Statistical Society Series B: Statistical Methodology Page: qkae11, Dec 2024 Notes: https://doi.org/10.1093/jrsssb/qkae115.
13d Cao Y, Ma W, McCarthy A, Chen J: A constrained maximum likelihood approach to developing well-calibrated models for predicting binary outcomes. Lifetime Data Analysis 30: 624-648, May 2024 Notes: DOI https://doi.org/10.1007/s10985-024-09628-9.
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